HP Information Optimization Press Conference December 4, 2012

© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

HP Information Optimization Press Conference

December 4, 2012


Harness the Power of Big Data Lynn Anderson Senior Vice President, Business Group Public Relations and Analyst Relations Chief Communications Officer Chief of Staff


HP Information Optimization Andrew Joiner General Manager for Emerging Technology and Marketing, Autonomy

Colin Mahony Senior Vice President and General Manager, HP Vertica

© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 4

Accelerating Innovation & Time to Value

695,000 status updates

98,000+ tweets

698,445 Google searches

11million instant messages

168 million+ emails sent

YouTube

Viber

Qzone

Amazon Web Services

GoGrid

Rackspace

LimeLight

Jive Software

salesforce.com

Xactly

Paint.NET

Business

Education

Entertainment

Games

Lifestyle

Music

Navigation

News

Photo & Video

Productivity

Reference

Social Networking

Sport

Travel

Utilities

Workbrain

SuccessFactors

Taleo

Workday

Finance

box.net

Facebook

LinkedIn

TripIt

Pinterest

Zynga

Zynga

Baidu

Twitter

Twitter

Yammer

Atlassian

Atlassian

MobilieIron SmugMug

SmugMug

Atlassian

Amazon

Amazon iHandy

PingMe

PingMe

Associatedcontent

Flickr

Snapfish

Answers.com

Tumblr.

Urban

Scribd. Pandora

MobileFrame.com

Mixi

CYworld

Renren

Xing

Yandex

Yandex

Heroku

RightScale

New Relic

AppFog

Bromium

Splunk

CloudSigma

cloudability

kaggle

nebula

Parse

ScaleXtreme

SolidFire

Zillabyte

dotCloud

BeyondCore

Mozy

Fring Toggl

MailChimp

Hootsuite

Foursquare

buzzd

Dragon Diction

SuperCam

UPS Mobile

Fed Ex Mobile

Scanner Pro

DocuSign

HP ePrint

iSchedule

Khan Academy

BrainPOP

myHomework

Cookie Doodle

Ah! Fasion Girl

PaperHost

SLI Systems

NetSuite

OpSource

Joyent

Hosting.com

Tata Communications

Datapipe

PPM

Alterian

Hyland

NetDocuments

NetReach

OpenText

Xerox

Google

Microsoft

IntraLinks

Qvidian

Sage

SugarCRM

Volusion

Zoho

Adobe

Avid

Corel

Microsoft

Serif

Yahoo

CyberShift

Saba

Softscape

Sonar6

Ariba

Yahoo!

Quadrem

Elemica

Kinaxis

CCC

DCC

SCM ADP VirtualEdge

Cornerstone onDemand

CyberShift

Kenexa Saba

Softscape

Sonar6

Workscape

Exact Online

FinancialForce.com

Intacct NetSuite

Plex Systems

Quickbooks

eBay

MRM

Claim Processing

Payroll

Sales tracking & Marketing

Commissions Database

ERP

CRM

SCM

HCM

HCM

PLM

HP

EMC

Cost Management

Order Entry

Product Configurator

Bills of Material Engineering

Inventory

Manufacturing Projects

Quality Control

SAP

Cash Management

Accounts Receivable

Fixed Assets Costing

Billing

Time and Expense

Activity Management Training

Time & Attendance

Rostering

Service

Data Warehousing

The Internet Gigabytes

Client/Server Megabytes

Every 60 seconds

IBM

Unisys

Burroughs

Hitachi

NEC Bull

Fijitsu

Mainframe Kilobytes

Mobile, Social, Big Data & The Cloud

Zettabytes

217 new mobile web users

Yottabytes

1,820TB of data created


We have gone beyond the decimal system

Information from the Internet of Things

1027

This will be our digital universe tomorrow…

Brontobyte

1024

This is our digital universe today = 250 trillion of DVDs

Yottabyte 1021

1.3 ZB of network traffic by 2016

Zettabyte

1018

1 EB of data is created on the internet each day = 250 million DVDs worth of information. The proposed Square Kilometer Array telescope will generated an EB of data per day

Exabyte

1012

Terabyte 500TB of new data per day are ingested in Facebook databases

1015 Petabyte The CERN Large Hadron Collider generates 1PB per second

Today data scientist uses Yottabytes to describe how much government data the NSA or FBI have on people altogether.

In the near future, Brontobyte will be the measurement

to describe the type of sensor data that will be generated from the IoT (Internet of Things)

109

Gigabyte 10

6

Megabyte


A real world example: Networks of billions of low-cost, self-powered, nano-scale sensors

CeNSE – Central Nervous System for the Earth

Airframe Integrity

Passenger Comfort

Wildlife Tracking

Personal Sensor Subnet

Large Structure Integrity

Auto Maker

Weather Service

Wildlife Research

Oil and Gas Wireless Carrier

Security Service

Airline Department of Transportation

Retailer

Home Automation & Security

Tsunami Warning System

Real Time Traffic Conditions

Merchandise Tracking

Oil Exploration & Production

Climate Monitoring


Large sensor networks are being designed and deployed by leading HP customers

CeNSE – Central Nervous System for the Earth

The data volumes being generated

70-100,000,000,000,000 bytes per day 25,000,000,000,000,000,000 bytes per year

Data being generated on the back-end network to configure, monitor and manage

1,000,000,000,000 bytes per day

A trillion sensors by 2030, roughly 150 sensors for

every person on earth

As sensor networks grow to this scale that equates to one million times more storage and processing will be

required.


Variety, Velocity, Volume, Time to Value

The Challenges of Information

48% Worldwide information volume growth of digital content¹

90% of digital content created by 2015 will be unstructured data types ¹

75% of currently deployed

data warehouses will fail to include unstructured data support (by 2016)2 to meet new information

velocity and complexity of demands

86% of corporations cannot deliver the right information, at right time to support enterprise outcomes all of the time³

¹Source: IDC Predictions 2012: Competing for 2020 ²Source: Gartner - The State of Data Warehousing in 2012 ³Source: Coleman Parkes Survey Nov 2012


Imagine a world where a conversation with your information drives actionable insight

Actionable Insight Requires Analysis of 100% of Information

Actionable insight across structured, semi-structured & unstructured data

Right time, enterprise-altering decision making

Accelerated Time to Value

“Do 40% more of this …”

Clickstream Data

Transactional Data

Logs

Social Media Video Audio

Email

Texts Messages Transactional

Data

Word, Excel Logs Clickstream Data

Images MGD


Information

Variety

Velocity

Volume

Information


Variety

Velocity

Volume

Return on Information How do you measure value?

x Depth of analytics

x # of users

Time to Value = Data value

CapEx + OpEx = Total cost = ROI

Return on Information


Beyond theory to practice:

Return of Information: Success Stories

Financial Services: catastrophe and risk management

‚…from 3 months to less than an hour with Vertica‛ - RMS Client

Real world lottery fraud cases solved

‚… from 5-10 people ” working 6 months to a year ” to identifying fraud within minutes.‛


You need a Next Gen Information Platform to tackle tomorrow’s information challenges

A Day in the Life of Information

Next Gen Information Platform

Executive Dashboards

Enterprise Search

Customer Interaction

Predictive Analytics

Web Engagement

Variety

Velocity

Volume

Social Media Video Audio Email Texts Texts Transactional Data Word, Excel Logs Clickstream Data Images MGD

Terabyte 10,000,000,000,000

Petabyte 10,000,000,000,000,000

Exabyte 10,000,000,000,000,000,000

Zettabyte 10,000,000,000,000,000,000,000

Yottabytes 10,000,000,000,000,000,000,000,000

Next Gen Information Platform


. . .

Harness the Power of Information

Banking “ Customer insight “ Financial risk management “ Relationship pricing

Public Sector “ Fraud Detection “ Threat & security “ Regulatory Compliance

Retail “ Merchandising “ Supply chain management “ Multi-channel marketing

Telco “ Churn management “ Network Analytics “ Sales & marketing

HP Next Gen Information Platform

Act Driving Enterprise-altering Decisions - Faster

Understand Intelligently understand the concept, context and perception of information

Manage Enabling an Intelligent Information Ecosystem

100% of Information

Social Media Video Audio Email Texts Transactional Data Word, Excel Logs Clickstream Data Images MGD

Return on Information: Time to Value


Information Optimization News

100% of Information


Manage Understand Act

Make intelligent, critical decisions, faster

Intelligently understand the concept, context and perception of information

Enabling an Intelligent Information Ecosystem


Social Media Video Audio Email Texts Transactional Data

Word, Excel Logs Clickstream Data

Images MGD

• HP Converged Storage (new) • HP Autonomy Legal & Compliance

Performance Suite (enhanced) • HP AppSystems for:

- Vertica (enhanced) - Hadoop (enhanced) - HP Autonomy eDiscovery Appliance

(new)

• HP Proactive Care for SAP (new)

• HP Vertica 6.1(enhanced)

• HP Telco Big Data and Analytics (new)

• HP Big Data Strategy Workshop (enhanced)

• HP Autonomy Marketing Perf Suite (enhanced)


HP AppSystems for Big Data Paul Miller

Vice President, Converged Application Systems, HP Enterprise Group


You Can’t Spell Hadoop Without HP

HP AppSystem for Apache Hadoop

Features • Modular HP ProLiant DL380e series building blocks

enable high performance and flexibility

• Cloudera Enterprise, Red Hat Enterprise Linux, HP Insight CMU

• Vertica Community Edition for real time analytics

• Factory-integrated, HP supported rack solution

Problem it solves • Restrictions of ridge appliances approaches

• Complex, disjointed management and monitoring

• Lack of platform engineering, skills, support for open source software

• Complexity of deploying a Hadoop cluster and scarcity of resources

• Updating software and maintaining/managing a Hadoop cluster

Customer Benefits • Modular Hadoop building block ready to deploy to your needs

• Unified view of management and monitoring of Hadoop clusters

• Enterprise grade Hadoop pre-engineered by HP, backed by HP support & consulting services & software support from Cloudera

• Real time, historical analysis of Hadoop clusters


Blazing Fast Big Data Analytics at Massive Scale and Low TCO

HP AppSystem for Vertica

Features • Modular HP ProLiant DL380p series Gen8 building

blocks, enable high performance, flexibility

• Red Hat Enterprise Linux

• Factory-integrated hardware OS, HP Vertica 6.1 Enterprise Edition software

• HP Support and Consulting Services

Problem it solves • Time and cost of deployment of Big Data analytics systems

• Restrictions of ridge appliances approaches

• Time intensive to design, test for performance and scale

• Inefficient utilization of infrastructure capacity and storage

Customer Benefits • Optimized performance ‘Out-of-the Box’

• Modular Vertica building block ready to deploy

• Accelerate time to deployment

• Realize optimal performance, eliminate design trial & error

• Reduce storage footprint with HP Vertica

• Realize lower TCO with industry’s fastest analytics platform for Big Data


Enabling corporate counsel to be more effective counselors

HP AppSystem for eDiscovery

Features • Complete pre-integrated Autonomy eDiscovery

environment

• Modular HP ProLiant Gen8 high big data building blocks, enable high performance, flexibility

• Scalable processing to a terabyte of data

• HP ProLiant Gen8 high performance direct attached storage

• Standard ProLiant Gen8 Integrated Lifecycle Automation

• HP Active Health System provides 24x7 health monitoring

Problem it solves • Restrictions of ridge appliances approaches

• Time and cost to respond to eDiscovery requests using legacy systems

• Management overhead of an eDiscovery system, with unpredictable matter volumes

• Time and cost of reviewing non-relevant data

Customer Benefits • Customers could gain 80% or greater cost savings

• Plug-and-play eDiscovery appliance is easy to deploy, use, scale and speeds time to value

• Advanced analytics help identify relevant data faster, more accurately

• True meaning-based conceptual and keyword searches, all in native languages


HP Technology Services Tom Norton

Director, Technology Consulting Portfolio, HP Technology Services


Combining smart technology and support for greater performance

HP Proactive Care for SAP

Features

“ Technology-enabled, remotely delivered, support combined with local on-site proactive support ” Single Point Of Contact

” Access to HP‘s global SAP support call center

” Dedicated account support manager

Problem it solves • Unplanned downtime, slow performance, or lack of

proper support can lead to the inability to meet Service Level Agreements

Customer Benefits • Availability and performance gains in SAP environments

• Faster problem resolution

• Accurate planning for future capacity


HP Big Data Strategy Workshop

Features • Workshop that helps customers:

” Identify appropriate Big Data infrastructure platform to meet their needs

” Learn about data archiving strategies, security and protection

Problem it solves • Need for expert guidance and roadmaps for Big Data

infrastructure strategies

Customer Benefits • More focused understanding of Big Data challenges

and solutions for:

” Big Data infrastructure strategy

” Analytics infrastructure

” Storage platform

• IT and enterprise goal alignment

• IT infrastructure evolution


Autonomy Legal and Compliance Performance Suite Andrew Joiner

General Manager for Emerging Technology and Marketing, Autonomy


Reduce legal and IT costs, and plan and win legal / compliance strategy; for CLO, CCO, GC

Autonomy Legal and Compliance Performance Suite

Features “ Autonomy Legal and Compliance Executive Scorecard

“ Enhanced mobile content management ” WorkSite

“ eDiscovery Module for Autonomy Consolidated Archive

“ Integrated Autonomy Connected Backup and Legal Hold

“ Autonomy data centers now running HP hardware and cloud

Customer Benefits “ Single, comprehensive solution spanning archiving, data

protection, ECM, eDiscovery, records management

“ Unique engine detects risks before they become a liability

“ Reduce costs, maintain compliance, plan and win legal strategy

Problem it solves “ Information explosion increases cost and liabilities

“ Increasingly complex state and federal regulatory landscape

“ Legacy systems incapable of understanding meaning


HP Vertica Analytics Platform 6.1 Colin Mahony

Senior Vice President and General Manager, HP Vertica


HP Vertica Analytics Platform 6.1

Features • Blazing Fast Analytics

• Open Architecture

• Massive Scalability

• Optimized Storage

Problem it solves • Accelerate answers

• Drives down the cost(s)

• Optimizes the Velocity, Volume and Variety of Big Data

Customer Benefits • Accelerate time to market

• Control costs

• Comprehensive analytical solution

• Meet Service Level Agreements (SLAs)


HP Telco Big Data and Analytics Valerie Logan Vice President, Strategy and Portfolio, Information Management & Analytics, HP Enterprise Services

Jeff Edlund Chief Technologist, Communications Media & Entertainment, HP Enterprise Services


HP Telco Big Data and Analytics Help Communications Service Providers (CSPs) leverage Big Data to deliver new subscriber services

Features • HP Telco Big Data and Analytics enables CSPs, through

actionable insight, to leverage the vast stores of structured and unstructured data existing in their IT and networks.

• Offerings: • HP Smart Profile Server • HP Actionable Experience Management • HP Ad Experience Personalization • Information Optimization Transformation

Experience Workshop

Problem it solves • CSPs risk becoming providers of only commodity services.

They are challenged to: • Grow revenue and differentiate themselves • Improve customer satisfaction and reduce churn • Introduce new business models • Optimize cost of operations and network investments

Customer Benefits • Introduce new products and targeted offers for subscribers • Improve customer experiences • Develop revenue streams through new business models

and partnerships • Optimize network planning • Develop a strategy and roadmap to leverage

Big Data assets


Create new revenue streams with Ad Experience Personalization

Targeted Offers and New Business Model Enablement

Search Engine

Telco Big Data and Analytics

Real-time engine

Real-time bidding

Online Advertisers & Publishers

+$ +$

+$

+$

Advertising Network

Business Model 1

Help search engines improve customer searches

Business Model 2

Create targeted offers, products for its own customers

Business Model 3

Partner with 3rd parties to help them target ads, products


Measure and Personalize with Actionable Experience Management

Network Optimization

Tailored services, better QoS based

on usage and network

conditions; Upsell/cross-sell

Handset, Network conditions,

subscriber usage

Network and subscriber data analytics, customer experience scores

HP Smart Profile Server (SPS) Correlation of subscriber behavior with

network experience

Tailored services, Customer proactive resolution, self care,

timely updates, credits

$

Policy control

Promotions and Campaigns

Customer Care

Qos controls per subscriber, network

traffic analysis

KPIs/KQIs

Network Operations

Measurement

Personalization


Helps CSPs Define and Lead an Information Transformation

Info Optimization Transformation Experience Workshop

Workshop objectives

“ Identify business value that can be achieved

“ Examine current state and what it takes to mature

“ Balance tactical and strategic information initiatives

“ Create changes in how to manage and use information

“ Build an executive-level roadmap


Autonomy Marketing Performance Suite Andrew Joiner

General Manager for Emerging Technology and Marketing, Autonomy


Understand, attract, engage, and convert customers in real-time; for CMO / digital marketer

Autonomy Marketing Performance Suite

Features “ Autonomy Marketing Executive Scorecard

“ Facebook advertising bid optimization

“ Enhanced Segmentation, Customer Experience Management, and Social Awareness

“ Integration with eCommerce engines (such as Hybris)

“ Autonomy LiveSite and HP Exstream integration

Problem it solves “ Multiple, siloed marketing systems

“ Fragmented, micro-segments of customers

“ Unstructured data explosion

“ Legacy systems incapable of understanding meaning

Customer Benefits “ Single, comprehensive solution to understand,

attract, engage, and convert customers

“ Unique engine for understanding ideas, concepts

“ Increased market share and revenue across all channels


Q&A


Lynn Anderson

Senior Vice President, Business Group Public Relations and Analyst Relations Chief Communications Officer Chief of Staff


. . .

Harness the Power of Information

Banking “ Customer insight “ Financial risk management “ Relationship pricing

Public Sector “ Fraud Detection “ Threat & security “ Regulatory Compliance

Retail “ Merchandising “ Supply chain management “ Multi-channel marketing

Telco “ Churn management “ Network Analytics “ Sales & marketing


Act Driving Enterprise-altering Decisions - Faster

Understand Intelligently understand the concept, context and perception of information

Manage Enabling an Intelligent Information Ecosystem

100% of Information

Social Media Video Audio Email Texts Transactional Data Word, Excel Logs Clickstream Data Images MGD



Thank you
